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@simonwagner
Last active May 30, 2023 23:54
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Convert Avid ALE files to CSV
#!/usr/bin/env python
from collections import OrderedDict
from itertools import dropwhile, izip
import csv
import argparse
import os.path
argparser = argparse.ArgumentParser()
argparser.add_argument("ale_file", metavar="ALE", type=argparse.FileType(mode="rb"))
argparser.add_argument("csv_file", metavar="CSV", type=argparse.FileType(mode="wb"), nargs="?", default=None)
def main():
args = argparser.parse_args()
columns, data = convert_ale_to_dict(args.ale_file)
args.ale_file.close()
if args.csv_file is not None:
csv_file = args.csv_file
else:
pre, ext = os.path.splitext(args.ale_file.name)
csv_path = pre + ".csv"
csv_file = open(csv_path, mode="wb")
dump_csv(csv_file, columns, data)
csv_file.close()
def convert_ale_to_dict(f):
f_iter = iter(f)
f_iter = dropwhile(lambda line: line != "Column\n", f_iter)
column_line = next_or_none(f_iter)
if column_line is None:
raise Exception("No columns found")
column_names_line = next_or_none(f_iter)
if column_names_line is None:
raise Exception("No values for columns")
columns = column_names_line.replace("\n", "").split("\t")
f_iter = dropwhile(lambda line: line != "Data\n", f_iter)
data_line = next_or_none(f_iter)
if data_line is None:
raise Exception("No data found")
data = []
for data_values_line in f_iter:
values = data_values_line.replace("\n", "").split("\t")
values_dict = OrderedDict(izip(columns, values))
data.append(values_dict)
return (columns, data)
def dump_csv(f, columns, data):
dw = csv.DictWriter(f, fieldnames=columns)
dw.writeheader()
dw.writerows(data)
def next_or_none(iter):
try:
return next(iter)
except StopIteration:
return None
if __name__ == "__main__":
main()
@jaminmc
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jaminmc commented May 30, 2023

Howdy y'all! I enhanced this code and have if convert stuff from Alexa camera's to CSV for Resolve! Check it out:
https://github.com/jaminmc/ale2ResolveCSV

It also runs on the latest Python

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